Machine Learning
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Bias-Variance Tradeoff
Quick Definition
The tension between model simplicity and complexity errors
Full Definition
The tension between model error from oversimplifying bias and error from overfitting variance.
Examples
model selection, ensemble methods, hyperparameter tuning
Related Terms
overfitting
underfitting
model-complexity
More Machine Learning Terms
Autoencoder
Neural network learning compressed data representations
Backpropagation
Algorithm computing gradients for neural network weight updates
Reinforcement Learning ML
Learning optimal decisions through environment interaction
LightGBM
Fast gradient boosting framework using histogram splitting
Precision Recall
Metrics measuring positive prediction quality and coverage
Overfitting
When a model learns training data noise and fails on new data